Files
FastDeploy/examples/vision/faceid/insightface/README.md
Zheng_Bicheng 9c3ac8f0da [vision] Add AdaFace model support (#301)
* 新增adaface模型

* 新增adaface模型python代码

* 新增adaface模型example代码

* 删除无用的import

* update

* 修正faceid文档的错误

* 修正faceid文档的错误

* 删除无用文件

* 新增adaface模型paddleinference推理代码,模型文件先提交方便测试后期会删除

* 新增adaface模型paddleinference推理代码,模型文件先提交方便测试后期会删除

* 按照要求修改并跑通cpp example

* 测试python example

* python cpu测试通过,修改了文档

* 修正文档,替换了模型下载地址

* 修正文档

* 修正文档

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2022-10-11 09:55:18 +08:00

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# InsightFace准备部署模型
- [InsightFace](https://github.com/deepinsight/insightface/commit/babb9a5)
- 1[官方库](https://github.com/deepinsight/insightface/)中提供的*.pt通过[导出ONNX模型](#导出ONNX模型)操作后,可进行部署;
- 2开发者基于自己数据训练的InsightFace模型可按照[导出ONNX模型](#%E5%AF%BC%E5%87%BAONNX%E6%A8%A1%E5%9E%8B)后,完成部署。
## 支持模型列表
目前FastDeploy支持如下模型的部署
- ArcFace
- CosFace
- PartialFC
- VPL
## 导出ONNX模型
以ArcFace为例:
访问[ArcFace](https://github.com/deepinsight/insightface/tree/master/recognition/arcface_torch)官方github库按照指引下载安装下载pt模型文件利用 `torch2onnx.py` 得到`onnx`格式文件。
* 下载ArcFace模型文件
```bash
Link: https://pan.baidu.com/share/init?surl=CL-l4zWqsI1oDuEEYVhj-g code: e8pw
```
* 导出onnx格式文件
```bash
PYTHONPATH=. python ./torch2onnx.py ms1mv3_arcface_r100_fp16/backbone.pth --output ms1mv3_arcface_r100.onnx --network r100 --simplify 1
```
## 下载预训练ONNX模型
为了方便开发者的测试下面提供了InsightFace导出的各系列模型开发者可直接下载使用。下表中模型的精度来源于源官方库其中精度指标来源于InsightFace中对各模型的介绍详情各参考InsightFace中的说明
| 模型 | 大小 | 精度 (AgeDB_30) |
|:-------------------------------------------------------------------------------------------|:------|:--------------|
| [CosFace-r18](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r18.onnx) | 92MB | 97.7 |
| [CosFace-r34](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r34.onnx) | 131MB | 98.3 |
| [CosFace-r50](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r50.onnx) | 167MB | 98.3 |
| [CosFace-r100](https://bj.bcebos.com/paddlehub/fastdeploy/glint360k_cosface_r100.onnx) | 249MB | 98.4 |
| [ArcFace-r18](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r18.onnx) | 92MB | 97.7 |
| [ArcFace-r34](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r34.onnx) | 131MB | 98.1 |
| [ArcFace-r50](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r50.onnx) | 167MB | - |
| [ArcFace-r100](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_arcface_r100.onnx) | 249MB | 98.4 |
| [ArcFace-r100_lr0.1](https://bj.bcebos.com/paddlehub/fastdeploy/ms1mv3_r100_lr01.onnx) | 249MB | 98.4 |
| [PartialFC-r34](https://bj.bcebos.com/paddlehub/fastdeploy/partial_fc_glint360k_r50.onnx) | 167MB | - |
| [PartialFC-r50](https://bj.bcebos.com/paddlehub/fastdeploy/partial_fc_glint360k_r100.onnx) | 249MB | - |
## 详细部署文档
- [Python部署](python)
- [C++部署](cpp)
## 版本说明
- 本版本文档和代码基于[InsightFace CommitID:babb9a5](https://github.com/deepinsight/insightface/commit/babb9a5) 编写